Ruxia Hou, Tingting Yang, Jiajia Liu, Hao Chen, Wen Kang, Junming Li, Xiaotong Shi, Yi Liang, Junyu Liu, Bin Zhao, Xiangyu Wang
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The Geo-detector model was employed to assess the impacts and interactions of these ecological factors.</p><p><strong>Results: </strong>Socioeconomic factors ( <i>Q</i> = 0.30, <i>P</i> < 0.05) exhibited a more substantial impact compared to environmental ( <i>Q</i> = 0.19, <i>P</i> < 0.05) and medical resource factors ( <i>Q</i> = 0.25, <i>P</i> < 0.05). Notably, the urban population percentage (UPP) demonstrated the most significant explanatory power for the spatial heterogeneity in caries prevalence, as denoted by its highest <i>q</i>-value ( <i>q</i> = 0.51, <i>P</i> < 0.05). Additionally, the spatial distribution's heterogeneity of caries was significantly affected by SO <sub>2</sub> concentration ( <i>q</i> = 0.39, <i>P</i> < 0.05) and water fluoride levels ( <i>q</i> = 0.27, <i>P</i> < 0.05) among environmental factors.</p><p><strong>Conclusion: </strong>The prevalence of caries exhibited spatial heterogeneity, escalating from North to South in Shanxi Province, China, influenced by socioeconomic factors, medical resources, and environmental conditions to varying extents.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"37 10","pages":"1173-1183"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial Heterogeneity and Risk Factors of Dental Caries in 12-Year-Old Children in Shanxi Province, China.\",\"authors\":\"Ruxia Hou, Tingting Yang, Jiajia Liu, Hao Chen, Wen Kang, Junming Li, Xiaotong Shi, Yi Liang, Junyu Liu, Bin Zhao, Xiangyu Wang\",\"doi\":\"10.3967/bes2024.102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study aimed to explore the spatial heterogeneity and risk factors for dental caries in 12-year-old children in Shanxi province, China.</p><p><strong>Methods: </strong>The data encompassed 3,721 participants from the two most recent oral health surveys conducted across 16 districts in Shanxi Province in 2015 and 2018. Eighteen specific variables were analyzed to examine the interplay between socioeconomic factors, medical resources and environmental conditions. The Geo-detector model was employed to assess the impacts and interactions of these ecological factors.</p><p><strong>Results: </strong>Socioeconomic factors ( <i>Q</i> = 0.30, <i>P</i> < 0.05) exhibited a more substantial impact compared to environmental ( <i>Q</i> = 0.19, <i>P</i> < 0.05) and medical resource factors ( <i>Q</i> = 0.25, <i>P</i> < 0.05). Notably, the urban population percentage (UPP) demonstrated the most significant explanatory power for the spatial heterogeneity in caries prevalence, as denoted by its highest <i>q</i>-value ( <i>q</i> = 0.51, <i>P</i> < 0.05). Additionally, the spatial distribution's heterogeneity of caries was significantly affected by SO <sub>2</sub> concentration ( <i>q</i> = 0.39, <i>P</i> < 0.05) and water fluoride levels ( <i>q</i> = 0.27, <i>P</i> < 0.05) among environmental factors.</p><p><strong>Conclusion: </strong>The prevalence of caries exhibited spatial heterogeneity, escalating from North to South in Shanxi Province, China, influenced by socioeconomic factors, medical resources, and environmental conditions to varying extents.</p>\",\"PeriodicalId\":93903,\"journal\":{\"name\":\"Biomedical and environmental sciences : BES\",\"volume\":\"37 10\",\"pages\":\"1173-1183\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical and environmental sciences : BES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3967/bes2024.102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical and environmental sciences : BES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3967/bes2024.102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的：探讨山西省12岁儿童龋病的空间异质性及危险因素。方法：数据包括2015年和2018年在山西省16个区进行的两次最新口腔健康调查的3721名参与者。对18个具体变量进行分析，以检验社会经济因素、医疗资源和环境条件之间的相互作用。利用地理探测器模型对这些生态因子的影响和相互作用进行了评价。结果：社会经济因素（Q = 0.30, P < 0.05）的影响大于环境因素（Q = 0.19, P < 0.05）和医疗资源因素（Q = 0.25, P < 0.05）。值得注意的是，城市人口百分比（UPP）对龋患病率的空间异质性具有最显著的解释力，其q值最高（q = 0.51, P < 0.05）。环境因子中so2浓度（q = 0.39, P < 0.05）和水中氟化物浓度（q = 0.27, P < 0.05）对龋病空间分布的异质性有显著影响。结论：山西省龋病流行受社会经济因素、医疗资源和环境条件的不同程度影响，呈现出由北向南呈上升趋势的空间异质性。
Spatial Heterogeneity and Risk Factors of Dental Caries in 12-Year-Old Children in Shanxi Province, China.
Objective: This study aimed to explore the spatial heterogeneity and risk factors for dental caries in 12-year-old children in Shanxi province, China.
Methods: The data encompassed 3,721 participants from the two most recent oral health surveys conducted across 16 districts in Shanxi Province in 2015 and 2018. Eighteen specific variables were analyzed to examine the interplay between socioeconomic factors, medical resources and environmental conditions. The Geo-detector model was employed to assess the impacts and interactions of these ecological factors.
Results: Socioeconomic factors ( Q = 0.30, P < 0.05) exhibited a more substantial impact compared to environmental ( Q = 0.19, P < 0.05) and medical resource factors ( Q = 0.25, P < 0.05). Notably, the urban population percentage (UPP) demonstrated the most significant explanatory power for the spatial heterogeneity in caries prevalence, as denoted by its highest q-value ( q = 0.51, P < 0.05). Additionally, the spatial distribution's heterogeneity of caries was significantly affected by SO 2 concentration ( q = 0.39, P < 0.05) and water fluoride levels ( q = 0.27, P < 0.05) among environmental factors.
Conclusion: The prevalence of caries exhibited spatial heterogeneity, escalating from North to South in Shanxi Province, China, influenced by socioeconomic factors, medical resources, and environmental conditions to varying extents.
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